Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:11:17.453546
Analysis finished2020-08-25 00:12:27.093207
Duration1 minute and 9.64 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.9089929992333053e-10
Minimum-1.7593835592269895
Maximum1.690056562423706
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:27.142256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.759383559
5-th percentile-1.580487067
Q1-0.8717584759
median0.008788362611
Q30.9077804387
95-th percentile1.487034637
Maximum1.690056562
Range3.449440122
Interquartile range (IQR)1.779538915

Descriptive statistics

Standard deviation0.9999999976
Coefficient of variation (CV)-5238363881
Kurtosis-1.242508691
Mean-1.908992999e-10
Median Absolute Deviation (MAD)0.8869175613
Skewness-0.06757905549
Sum-1.908992999e-07
Variance0.9999999952
2020-08-25T00:12:27.247236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.22655904310.1%
 
1.39584422110.1%
 
-1.16932928610.1%
 
-1.45057618610.1%
 
1.2474446310.1%
 
0.760438382610.1%
 
-1.38806211910.1%
 
-1.29431104710.1%
 
0.242843285210.1%
 
-0.826840758310.1%
 
-1.36783504510.1%
 
-1.35679495310.1%
 
-1.4466377510.1%
 
1.43100631210.1%
 
-0.347985744510.1%
 
1.47006154110.1%
 
0.0267530623810.1%
 
-1.38411974910.1%
 
1.37630319610.1%
 
1.23773825210.1%
 
1.18879389810.1%
 
-1.04058241810.1%
 
-1.12628793710.1%
 
0.111856237110.1%
 
-0.996733546310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75938355910.1%
 
-1.75353157510.1%
 
-1.75307273910.1%
 
-1.74417495710.1%
 
-1.73874115910.1%
 
-1.73242700110.1%
 
-1.72904813310.1%
 
-1.72308123110.1%
 
-1.7165036210.1%
 
-1.71126425310.1%
 
ValueCountFrequency (%) 
1.69005656210.1%
 
1.6862683310.1%
 
1.6765968810.1%
 
1.67407786810.1%
 
1.66902625610.1%
 
1.6601637610.1%
 
1.65290844410.1%
 
1.64917075610.1%
 
1.63874745410.1%
 
1.63652658510.1%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.76724550127983e-11
Minimum-1.7538896799087524
Maximum1.6654798984527588
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:27.366482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.75388968
5-th percentile-1.571601039
Q1-0.8424452394
median-0.03524104785
Q30.8789305687
95-th percentile1.521970689
Maximum1.665479898
Range3.419369578
Interquartile range (IQR)1.721375808

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1.023830106e+10
Kurtosis-1.239381371
Mean-9.767245501e-11
Median Absolute Deviation (MAD)0.8733525975
Skewness-0.02324445811
Sum-9.767245501e-08
Variance1
2020-08-25T00:12:27.471717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.589897990210.1%
 
0.88737094410.1%
 
-1.58459830310.1%
 
-0.330412685910.1%
 
-1.64586436710.1%
 
1.04767632510.1%
 
0.572929501510.1%
 
1.15757679910.1%
 
1.31772911510.1%
 
-1.04819190510.1%
 
1.09115946310.1%
 
0.832687854810.1%
 
0.845936298410.1%
 
1.54977834210.1%
 
-0.85026186710.1%
 
-0.581570386910.1%
 
-0.152012422710.1%
 
0.0865067914110.1%
 
0.809240400810.1%
 
1.27472853710.1%
 
-1.30025827910.1%
 
-0.584626436210.1%
 
-1.24737632310.1%
 
-1.73956239210.1%
 
-0.925141692210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.7538896810.1%
 
-1.75322532710.1%
 
-1.75205767210.1%
 
-1.74400138910.1%
 
-1.74322414410.1%
 
-1.74206304610.1%
 
-1.73956239210.1%
 
-1.73907005810.1%
 
-1.73558461710.1%
 
-1.72128486610.1%
 
ValueCountFrequency (%) 
1.66547989810.1%
 
1.65376162510.1%
 
1.65314042610.1%
 
1.65293812810.1%
 
1.65151846410.1%
 
1.6440759910.1%
 
1.6432015910.1%
 
1.64238107210.1%
 
1.63797068610.1%
 
1.63205444810.1%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.4645656645298e-11
Minimum-1.725653886795044
Maximum1.7519575357437134
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:27.586313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.725653887
5-th percentile-1.560169393
Q1-0.8381315768
median0.01495096739
Q30.846628353
95-th percentile1.591110575
Maximum1.751957536
Range3.477611423
Interquartile range (IQR)1.68475993

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)-1.05657252e+10
Kurtosis-1.169865655
Mean-9.464565665e-11
Median Absolute Deviation (MAD)0.8423539102
Skewness0.01091770122
Sum-9.464565665e-08
Variance0.9999999983
2020-08-25T00:12:27.849104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.935815513110.1%
 
0.771287202810.1%
 
-0.74870902310.1%
 
0.781909823410.1%
 
-1.14194023610.1%
 
-1.54037511310.1%
 
-0.0818689167510.1%
 
-0.459311068110.1%
 
0.341914027910.1%
 
-1.14974200710.1%
 
-0.0420735590210.1%
 
0.809243142610.1%
 
-0.567050933810.1%
 
-1.57941126810.1%
 
-1.00405788410.1%
 
-0.604156196110.1%
 
-0.490088075410.1%
 
0.188336223410.1%
 
-0.49089169510.1%
 
1.09603726910.1%
 
1.32158398610.1%
 
0.135412603610.1%
 
-0.100751191410.1%
 
-0.490473300210.1%
 
0.128813564810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72565388710.1%
 
-1.72286403210.1%
 
-1.72250008610.1%
 
-1.71623146510.1%
 
-1.71524751210.1%
 
-1.71488654610.1%
 
-1.70482134810.1%
 
-1.70213520510.1%
 
-1.69930660710.1%
 
-1.69811546810.1%
 
ValueCountFrequency (%) 
1.75195753610.1%
 
1.75173997910.1%
 
1.74981224510.1%
 
1.74416530110.1%
 
1.7272394910.1%
 
1.71906864610.1%
 
1.71723651910.1%
 
1.71517455610.1%
 
1.71223962310.1%
 
1.71147322710.1%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6082852855324744e-10
Minimum-1.8342920541763303
Maximum1.7215652465820312
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:27.962534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.834292054
5-th percentile-1.604478776
Q1-0.8289648443
median0.01201555924
Q30.8513988405
95-th percentile1.553255039
Maximum1.721565247
Range3.555857301
Interquartile range (IQR)1.680363685

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)3833936451
Kurtosis-1.137357942
Mean2.608285286e-10
Median Absolute Deviation (MAD)0.8417346557
Skewness-0.04106010627
Sum2.608285286e-07
Variance1.000000006
2020-08-25T00:12:28.066116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.642576336910.1%
 
-0.399079024810.1%
 
1.35295021510.1%
 
0.72725570210.1%
 
-1.48218643710.1%
 
0.610097944710.1%
 
-0.576861262310.1%
 
0.767052292810.1%
 
1.6089664710.1%
 
-0.103720948110.1%
 
0.483738690610.1%
 
1.58606314710.1%
 
1.04040968410.1%
 
-1.24415504910.1%
 
0.179855242410.1%
 
-1.65758526310.1%
 
0.112956069410.1%
 
1.14977252510.1%
 
-1.82313835610.1%
 
0.265957653510.1%
 
1.0599235310.1%
 
-0.590873599110.1%
 
0.472986131910.1%
 
1.2161568410.1%
 
-0.604171633710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.83429205410.1%
 
-1.8241976510.1%
 
-1.82313835610.1%
 
-1.82019412510.1%
 
-1.81569874310.1%
 
-1.8079906710.1%
 
-1.80759334610.1%
 
-1.80296134910.1%
 
-1.79865932510.1%
 
-1.7866396910.1%
 
ValueCountFrequency (%) 
1.72156524710.1%
 
1.72131884110.1%
 
1.72033274210.1%
 
1.71902954610.1%
 
1.71253073210.1%
 
1.70987284210.1%
 
1.70712959810.1%
 
1.7032380110.1%
 
1.70095825210.1%
 
1.69378364110.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.266133040189743e-09
Minimum-1.771018147468567
Maximum1.735440731048584
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:28.188857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.771018147
5-th percentile-1.59596892
Q1-0.807833761
median0.01384505536
Q30.8464947045
95-th percentile1.539946204
Maximum1.735440731
Range3.506458879
Interquartile range (IQR)1.654328465

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)789806418.3
Kurtosis-1.136858489
Mean1.26613304e-09
Median Absolute Deviation (MAD)0.8282173267
Skewness-0.03760598749
Sum1.26613304e-06
Variance1.000000003
2020-08-25T00:12:28.300353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.37890255510.1%
 
0.314788758810.1%
 
-0.26304364210.1%
 
-0.167653635110.1%
 
1.56614434710.1%
 
-0.132985353510.1%
 
0.136960387210.1%
 
0.746780157110.1%
 
-1.10339045510.1%
 
-0.549509882910.1%
 
-1.75135397910.1%
 
-0.389986187210.1%
 
-1.62171566510.1%
 
0.846376955510.1%
 
-0.50205534710.1%
 
0.0741634666910.1%
 
-0.714968860110.1%
 
-0.228194564610.1%
 
0.453458756210.1%
 
1.39537370210.1%
 
1.11809599410.1%
 
-0.649099409610.1%
 
-0.901041150110.1%
 
-0.135369256110.1%
 
1.53970491910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77101814710.1%
 
-1.76887202310.1%
 
-1.76378631610.1%
 
-1.75695025910.1%
 
-1.75605118310.1%
 
-1.75486159310.1%
 
-1.75266957310.1%
 
-1.75135397910.1%
 
-1.74499726310.1%
 
-1.74417030810.1%
 
ValueCountFrequency (%) 
1.73544073110.1%
 
1.72971355910.1%
 
1.72666144410.1%
 
1.72604048310.1%
 
1.71803164510.1%
 
1.71667158610.1%
 
1.69520223110.1%
 
1.69388556510.1%
 
1.69347441210.1%
 
1.69255244710.1%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.5518390834331514e-10
Minimum-1.70911967754364
Maximum1.7135326862335205
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:28.415614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.709119678
5-th percentile-1.518098503
Q1-0.8939604759
median0.003249265486
Q30.8643605709
95-th percentile1.54289487
Maximum1.713532686
Range3.422652364
Interquartile range (IQR)1.758321047

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-2196914218
Kurtosis-1.229111393
Mean-4.551839083e-10
Median Absolute Deviation (MAD)0.8747190458
Skewness0.0116661483
Sum-4.551839083e-07
Variance0.9999999999
2020-08-25T00:12:28.519336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.2443660510.1%
 
0.429030835610.1%
 
1.57594418510.1%
 
-1.1551388510.1%
 
-0.729177653810.1%
 
-0.885855317110.1%
 
1.35415089110.1%
 
-1.37631392510.1%
 
-0.484702259310.1%
 
0.161486595910.1%
 
1.53652954110.1%
 
-1.51077616210.1%
 
0.908849418210.1%
 
1.59504032110.1%
 
-1.10507416710.1%
 
1.36455464410.1%
 
0.317685514710.1%
 
-0.697901070110.1%
 
0.159568473710.1%
 
-0.324533909610.1%
 
0.879534542610.1%
 
1.06765639810.1%
 
-1.4353787910.1%
 
0.263007104410.1%
 
1.01730024810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70911967810.1%
 
-1.70663678610.1%
 
-1.70570540410.1%
 
-1.70440685710.1%
 
-1.70411062210.1%
 
-1.69636392610.1%
 
-1.69211661810.1%
 
-1.69149959110.1%
 
-1.68633925910.1%
 
-1.68149435510.1%
 
ValueCountFrequency (%) 
1.71353268610.1%
 
1.70640885810.1%
 
1.70069897210.1%
 
1.70024025410.1%
 
1.6989368210.1%
 
1.69644069710.1%
 
1.69300997310.1%
 
1.69149756410.1%
 
1.69069147110.1%
 
1.69066202610.1%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.291375029832125e-10
Minimum-1.7261512279510498
Maximum1.781273365020752
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:28.634990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.726151228
5-th percentile-1.546745604
Q1-0.8564440459
median-0.02209995687
Q30.813885659
95-th percentile1.603282928
Maximum1.781273365
Range3.507424593
Interquartile range (IQR)1.670329705

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1589477652
Kurtosis-1.161901809
Mean-6.29137503e-10
Median Absolute Deviation (MAD)0.8351771235
Skewness0.02737773905
Sum-6.29137503e-07
Variance1.000000003
2020-08-25T00:12:28.738230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.935546815410.1%
 
1.47401428210.1%
 
1.3791836510.1%
 
1.43108165310.1%
 
-1.38810944610.1%
 
1.71345412710.1%
 
-0.468120247110.1%
 
1.16544902310.1%
 
1.52482080510.1%
 
0.0547306872910.1%
 
1.11459100210.1%
 
0.157398477210.1%
 
-1.22402620310.1%
 
-1.58339810410.1%
 
1.40761005910.1%
 
-0.478854656210.1%
 
0.0716126337610.1%
 
-0.744818270210.1%
 
1.28380930410.1%
 
0.680360019210.1%
 
-1.19022166710.1%
 
0.367520123710.1%
 
-0.245281770810.1%
 
-0.565110981510.1%
 
1.43490707910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72615122810.1%
 
-1.72536075110.1%
 
-1.72204685210.1%
 
-1.72201144710.1%
 
-1.71645855910.1%
 
-1.70731520710.1%
 
-1.70647203910.1%
 
-1.704578410.1%
 
-1.69938695410.1%
 
-1.69843578310.1%
 
ValueCountFrequency (%) 
1.78127336510.1%
 
1.77779841410.1%
 
1.77330565510.1%
 
1.77200508110.1%
 
1.76956081410.1%
 
1.75936353210.1%
 
1.75903642210.1%
 
1.74417436110.1%
 
1.72952675810.1%
 
1.72930049910.1%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.136919648343394e-09
Minimum-1.720003962516785
Maximum1.794360637664795
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:28.852308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.720003963
5-th percentile-1.55529362
Q1-0.8666824102
median-0.01842891145
Q30.8452533782
95-th percentile1.591621965
Maximum1.794360638
Range3.5143646
Interquartile range (IQR)1.711935788

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)467963314.8
Kurtosis-1.172973324
Mean2.136919648e-09
Median Absolute Deviation (MAD)0.854339093
Skewness0.02697125055
Sum2.136919648e-06
Variance1.000000004
2020-08-25T00:12:28.956731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.44139885910.1%
 
-0.229657247710.1%
 
1.03236675310.1%
 
-0.644363939810.1%
 
0.529960691910.1%
 
-0.134600505210.1%
 
-1.52865850910.1%
 
-1.71515548210.1%
 
-0.129069507110.1%
 
0.522135376910.1%
 
-1.67707979710.1%
 
-0.777992129310.1%
 
-0.78757929810.1%
 
0.658848583710.1%
 
-0.491533130410.1%
 
0.142738416810.1%
 
-0.988890767110.1%
 
-0.304029524310.1%
 
-1.4112055310.1%
 
0.7097359310.1%
 
1.77079987510.1%
 
0.549458682510.1%
 
-0.321604162510.1%
 
-0.690080583110.1%
 
-1.72000396310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72000396310.1%
 
-1.71515548210.1%
 
-1.69733238210.1%
 
-1.69584834610.1%
 
-1.6938772210.1%
 
-1.69044351610.1%
 
-1.67761242410.1%
 
-1.67707979710.1%
 
-1.67302715810.1%
 
-1.6693332210.1%
 
ValueCountFrequency (%) 
1.79436063810.1%
 
1.78918075610.1%
 
1.78230941310.1%
 
1.77493238410.1%
 
1.77179956410.1%
 
1.77079987510.1%
 
1.76883828610.1%
 
1.76773881910.1%
 
1.76593434810.1%
 
1.74591565110.1%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8777867555618286e-10
Minimum-1.733340859413147
Maximum1.7033118009567259
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:29.073482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.733340859
5-th percentile-1.533647054
Q1-0.8855644166
median0.04263643362
Q30.8654235154
95-th percentile1.514210701
Maximum1.703311801
Range3.43665266
Interquartile range (IQR)1.750987932

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)3474892640
Kurtosis-1.233551489
Mean2.877786756e-10
Median Absolute Deviation (MAD)0.8823452592
Skewness-0.02291328433
Sum2.877786756e-07
Variance1.000000003
2020-08-25T00:12:29.177641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.015504205610.1%
 
-1.48567199710.1%
 
0.199607744810.1%
 
-1.23645353310.1%
 
0.194503784210.1%
 
-0.472967505510.1%
 
-1.28649294410.1%
 
-0.617850065210.1%
 
1.11460161210.1%
 
0.484438121310.1%
 
0.567062020310.1%
 
0.951825916810.1%
 
-1.24214112810.1%
 
-0.826823711410.1%
 
-1.6848963510.1%
 
0.205892130710.1%
 
0.56897568710.1%
 
-0.472002565910.1%
 
-0.932285904910.1%
 
-0.239536449310.1%
 
-0.695955574510.1%
 
0.349929571210.1%
 
0.429029256110.1%
 
-0.568995356610.1%
 
-1.23371338810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73334085910.1%
 
-1.72833061210.1%
 
-1.72582173310.1%
 
-1.72375929410.1%
 
-1.71427786410.1%
 
-1.70951151810.1%
 
-1.70622539510.1%
 
-1.70515644610.1%
 
-1.70344054710.1%
 
-1.69963622110.1%
 
ValueCountFrequency (%) 
1.70331180110.1%
 
1.70166468610.1%
 
1.69552922210.1%
 
1.69442260310.1%
 
1.69402480110.1%
 
1.68675684910.1%
 
1.6755702510.1%
 
1.67311787610.1%
 
1.67135703610.1%
 
1.66899073110.1%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8703285604715346e-09
Minimum-1.6979413032531738
Maximum1.6909132003784182
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:29.292660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.697941303
5-th percentile-1.556852603
Q1-0.8665083647
median-0.0009263103129
Q30.8937857002
95-th percentile1.534453803
Maximum1.6909132
Range3.388854504
Interquartile range (IQR)1.760294065

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)534665417.6
Kurtosis-1.233920531
Mean1.87032856e-09
Median Absolute Deviation (MAD)0.8833680153
Skewness0.008669244492
Sum1.87032856e-06
Variance1.000000001
2020-08-25T00:12:29.397069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.98011475810.1%
 
-0.36490783110.1%
 
1.60682952410.1%
 
0.0218293648210.1%
 
-1.00851285510.1%
 
0.00208545429610.1%
 
0.625671148310.1%
 
-0.830746769910.1%
 
0.502621293110.1%
 
0.570977449410.1%
 
0.00130332843410.1%
 
0.873709201810.1%
 
0.34212750210.1%
 
1.27602875210.1%
 
0.320639789110.1%
 
0.0921268984710.1%
 
0.365545660310.1%
 
0.730925500410.1%
 
0.0672195330310.1%
 
-1.2356669910.1%
 
-0.104835718910.1%
 
0.173012211910.1%
 
-0.959303975110.1%
 
1.30596566210.1%
 
-0.489576458910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.69794130310.1%
 
-1.69790780510.1%
 
-1.69618678110.1%
 
-1.69338333610.1%
 
-1.69320845610.1%
 
-1.69191634710.1%
 
-1.68973243210.1%
 
-1.68479251910.1%
 
-1.68376684210.1%
 
-1.68254804610.1%
 
ValueCountFrequency (%) 
1.690913210.1%
 
1.68671882210.1%
 
1.68463504310.1%
 
1.68261122710.1%
 
1.68151533610.1%
 
1.68092083910.1%
 
1.68009948710.1%
 
1.67839634410.1%
 
1.677444110.1%
 
1.6764401210.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.650830179452896e-11
Minimum-1.7392345666885376
Maximum1.70269513130188
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:29.516091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.739234567
5-th percentile-1.539113605
Q1-0.8665086776
median-0.00182461954
Q30.8992888331
95-th percentile1.540396821
Maximum1.702695131
Range3.441929698
Interquartile range (IQR)1.765797511

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1.036180289e+10
Kurtosis-1.213391263
Mean-9.650830179e-11
Median Absolute Deviation (MAD)0.8911736608
Skewness-0.009620544603
Sum-9.650830179e-08
Variance1.000000001
2020-08-25T00:12:29.620428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.712970852910.1%
 
1.10673475310.1%
 
1.03621864310.1%
 
-1.57944464710.1%
 
1.41859614810.1%
 
1.1894388210.1%
 
1.58724355710.1%
 
0.472005009710.1%
 
1.54557704910.1%
 
-1.32941484510.1%
 
-1.17316603710.1%
 
-1.54815483110.1%
 
1.44335222210.1%
 
1.13017487510.1%
 
0.684227347410.1%
 
0.498787283910.1%
 
-1.32301616710.1%
 
-0.833526194110.1%
 
-0.861955821510.1%
 
0.843050003110.1%
 
-0.272771060510.1%
 
-1.46005630510.1%
 
0.458675742110.1%
 
0.692022383210.1%
 
-0.789677321910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73923456710.1%
 
-1.73715722610.1%
 
-1.73333346810.1%
 
-1.73259556310.1%
 
-1.73097813110.1%
 
-1.71856474910.1%
 
-1.70540046710.1%
 
-1.69858312610.1%
 
-1.69792175310.1%
 
-1.6978739510.1%
 
ValueCountFrequency (%) 
1.70269513110.1%
 
1.70089447510.1%
 
1.69862067710.1%
 
1.69843995610.1%
 
1.69813597210.1%
 
1.69801509410.1%
 
1.69585704810.1%
 
1.69267845210.1%
 
1.69145894110.1%
 
1.689312110.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1906959116458893e-09
Minimum-1.7111868858337402
Maximum1.6973495483398438
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:29.735907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.711186886
5-th percentile-1.528464502
Q1-0.9058363885
median0.04488222674
Q30.8460700214
95-th percentile1.552500021
Maximum1.697349548
Range3.408536434
Interquartile range (IQR)1.75190641

Descriptive statistics

Standard deviation0.9999999992
Coefficient of variation (CV)-839844992.7
Kurtosis-1.212851833
Mean-1.190695912e-09
Median Absolute Deviation (MAD)0.8695416637
Skewness-0.0175129254
Sum-1.190695912e-06
Variance0.9999999983
2020-08-25T00:12:29.839402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.090354810.1%
 
0.330397099310.1%
 
0.38412097110.1%
 
-1.70835733410.1%
 
1.18100738510.1%
 
-0.580338060910.1%
 
-0.363928586210.1%
 
-0.146706685410.1%
 
-0.647136092210.1%
 
-1.13020670410.1%
 
0.217005401810.1%
 
1.00504732110.1%
 
0.201333165210.1%
 
0.875641882410.1%
 
-0.608062207710.1%
 
-1.54033148310.1%
 
0.106033660510.1%
 
-0.475903332210.1%
 
0.392676860110.1%
 
-1.04584014410.1%
 
-1.47782409210.1%
 
-1.49093043810.1%
 
0.0957341119610.1%
 
-1.31765687510.1%
 
1.28249883710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71118688610.1%
 
-1.70835733410.1%
 
-1.7046612510.1%
 
-1.7041758310.1%
 
-1.69810223610.1%
 
-1.69307708710.1%
 
-1.69164812610.1%
 
-1.68118941810.1%
 
-1.68081510110.1%
 
-1.66855835910.1%
 
ValueCountFrequency (%) 
1.69734954810.1%
 
1.69040870710.1%
 
1.68616890910.1%
 
1.6860678210.1%
 
1.68117225210.1%
 
1.67958462210.1%
 
1.6791553510.1%
 
1.67662775510.1%
 
1.6756576310.1%
 
1.66414022410.1%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.779431028723024e-10
Minimum-1.7726200819015503
Maximum1.6882801055908203
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:29.955131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.772620082
5-th percentile-1.573074156
Q1-0.8724054843
median0.01824231166
Q30.8538214415
95-th percentile1.504667687
Maximum1.688280106
Range3.460900187
Interquartile range (IQR)1.726226926

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)-2092299257
Kurtosis-1.219201245
Mean-4.779431029e-10
Median Absolute Deviation (MAD)0.8604014395
Skewness-0.05340854479
Sum-4.779431029e-07
Variance0.9999999979
2020-08-25T00:12:30.063358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.31464123710.1%
 
0.356777042210.1%
 
1.34123146510.1%
 
-1.37638115910.1%
 
0.0502391420310.1%
 
-0.0772339552610.1%
 
1.66933214710.1%
 
0.94072586310.1%
 
0.69989824310.1%
 
-1.44666552510.1%
 
-1.44666445310.1%
 
-1.33728313410.1%
 
-1.76306283510.1%
 
-0.000866589776710.1%
 
0.426207542410.1%
 
-0.127218902110.1%
 
1.15360653410.1%
 
0.22623926410.1%
 
1.08334505610.1%
 
0.222940176710.1%
 
0.692066371410.1%
 
-0.86392831810.1%
 
-0.102458439810.1%
 
0.267900347710.1%
 
-0.996736228510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77262008210.1%
 
-1.76461923110.1%
 
-1.76366794110.1%
 
-1.76306283510.1%
 
-1.76284861610.1%
 
-1.76268506110.1%
 
-1.76151502110.1%
 
-1.75586032910.1%
 
-1.75410413710.1%
 
-1.74716281910.1%
 
ValueCountFrequency (%) 
1.68828010610.1%
 
1.68296456310.1%
 
1.68159937910.1%
 
1.68015205910.1%
 
1.67243599910.1%
 
1.67010164310.1%
 
1.66933214710.1%
 
1.66806304510.1%
 
1.66732025110.1%
 
1.66731405310.1%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.763163350522519e-11
Minimum-1.758044958114624
Maximum1.7092219591140747
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:30.178890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.758044958
5-th percentile-1.585978937
Q1-0.8870790303
median0.03267696314
Q30.8875580579
95-th percentile1.502135241
Maximum1.709221959
Range3.467266917
Interquartile range (IQR)1.774637088

Descriptive statistics

Standard deviation0.9999999977
Coefficient of variation (CV)-1.141140428e+10
Kurtosis-1.244336602
Mean-8.763163351e-11
Median Absolute Deviation (MAD)0.8822334986
Skewness-0.06586189098
Sum-8.763163351e-08
Variance0.9999999953
2020-08-25T00:12:30.282462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.24218583110.1%
 
-0.848350584510.1%
 
-0.766991436510.1%
 
-1.4856097710.1%
 
-0.469106465610.1%
 
0.290768325310.1%
 
0.760473847410.1%
 
-0.147453233610.1%
 
-0.467136710910.1%
 
-0.181954264610.1%
 
0.868014097210.1%
 
1.38811850510.1%
 
-0.662352085110.1%
 
0.107334658510.1%
 
-1.16545426810.1%
 
-1.40113031910.1%
 
-0.235704928610.1%
 
-1.08341085910.1%
 
-0.341164708110.1%
 
1.17325162910.1%
 
-0.703812003110.1%
 
0.750683605710.1%
 
0.967476308310.1%
 
-0.977242946610.1%
 
-0.897345304510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75804495810.1%
 
-1.7563018810.1%
 
-1.75541615510.1%
 
-1.75128328810.1%
 
-1.74996721710.1%
 
-1.74780714510.1%
 
-1.74561452910.1%
 
-1.74027907810.1%
 
-1.73829579410.1%
 
-1.7374279510.1%
 
ValueCountFrequency (%) 
1.70922195910.1%
 
1.70515656510.1%
 
1.70097172310.1%
 
1.70080304110.1%
 
1.69800376910.1%
 
1.6956697710.1%
 
1.68283915510.1%
 
1.67773318310.1%
 
1.67407369610.1%
 
1.66423165810.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.778841346502304e-10
Minimum-1.7757353782653809
Maximum1.676460027694702
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:30.405620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.775735378
5-th percentile-1.593726432
Q1-0.8392306268
median0.0364765171
Q30.8869462162
95-th percentile1.472989219
Maximum1.676460028
Range3.452195406
Interquartile range (IQR)1.726176843

Descriptive statistics

Standard deviation0.9999999983
Coefficient of variation (CV)-2646313795
Kurtosis-1.222625345
Mean-3.778841347e-10
Median Absolute Deviation (MAD)0.8629723731
Skewness-0.06053218991
Sum-3.778841347e-07
Variance0.9999999965
2020-08-25T00:12:30.508051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.736327648210.1%
 
0.604145109710.1%
 
-0.891277909310.1%
 
1.51574289810.1%
 
-0.319660246410.1%
 
1.41926336310.1%
 
-0.416122376910.1%
 
-0.522129058810.1%
 
-1.47003734110.1%
 
-0.49543717510.1%
 
-1.73309588410.1%
 
-0.66665440810.1%
 
0.999570250510.1%
 
0.9060751210.1%
 
-0.00686152279410.1%
 
0.802199780910.1%
 
1.61446726310.1%
 
1.57545673810.1%
 
0.565070986710.1%
 
0.381167054210.1%
 
-0.307924181210.1%
 
0.869753599210.1%
 
0.946931242910.1%
 
1.10159015710.1%
 
-0.85998272910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77573537810.1%
 
-1.75932455110.1%
 
-1.75370049510.1%
 
-1.74546897410.1%
 
-1.74108576810.1%
 
-1.7393667710.1%
 
-1.73383414710.1%
 
-1.73309588410.1%
 
-1.73069024110.1%
 
-1.72846400710.1%
 
ValueCountFrequency (%) 
1.67646002810.1%
 
1.67470288310.1%
 
1.66707575310.1%
 
1.66676497510.1%
 
1.66058301910.1%
 
1.65936744210.1%
 
1.65589547210.1%
 
1.65186774710.1%
 
1.64647781810.1%
 
1.64043605310.1%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1257437765598298e-10
Minimum-1.7809288501739502
Maximum1.8165186643600464
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:30.622154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.78092885
5-th percentile-1.55229128
Q1-0.8170515895
median-0.01463519689
Q30.8121030778
95-th percentile1.595026088
Maximum1.816518664
Range3.597447515
Interquartile range (IQR)1.629154667

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)-4704235803
Kurtosis-1.11069296
Mean-2.125743777e-10
Median Absolute Deviation (MAD)0.817463479
Skewness0.03166869839
Sum-2.125743777e-07
Variance0.9999999963
2020-08-25T00:12:30.878328image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.800780594310.1%
 
-0.856084406410.1%
 
-1.15363669410.1%
 
-0.135415002710.1%
 
1.30206584910.1%
 
-1.02606165410.1%
 
-0.558572351910.1%
 
0.791653156310.1%
 
-0.576807916210.1%
 
1.09501862510.1%
 
1.00516712710.1%
 
0.400704145410.1%
 
1.37234365910.1%
 
-0.730086326610.1%
 
-0.0642864033610.1%
 
-1.01685261710.1%
 
1.79244267910.1%
 
-0.21157869710.1%
 
1.3332463510.1%
 
0.436827093410.1%
 
-0.425107300310.1%
 
1.13904881510.1%
 
1.45432591410.1%
 
-1.21604061110.1%
 
1.17828154610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.7809288510.1%
 
-1.7798132910.1%
 
-1.77118825910.1%
 
-1.76840841810.1%
 
-1.76414620910.1%
 
-1.76270449210.1%
 
-1.75015056110.1%
 
-1.74782705310.1%
 
-1.74508833910.1%
 
-1.74029254910.1%
 
ValueCountFrequency (%) 
1.81651866410.1%
 
1.81544375410.1%
 
1.81453442610.1%
 
1.81350994110.1%
 
1.81194090810.1%
 
1.80521810110.1%
 
1.80514764810.1%
 
1.79961061510.1%
 
1.79433298110.1%
 
1.79285025610.1%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.348104655742645e-10
Minimum-1.78120756149292
Maximum1.77069091796875
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:30.992448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.781207561
5-th percentile-1.609021664
Q1-0.87594302
median0.0472146906
Q30.8118616343
95-th percentile1.563161969
Maximum1.770690918
Range3.551898479
Interquartile range (IQR)1.687804654

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-2986764464
Kurtosis-1.136754119
Mean-3.348104656e-10
Median Absolute Deviation (MAD)0.8428486288
Skewness-0.05341671435
Sum-3.348104656e-07
Variance1.000000001
2020-08-25T00:12:31.097404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.16933715310.1%
 
0.00986707117410.1%
 
0.0532642826410.1%
 
0.785820126510.1%
 
1.516948710.1%
 
-0.380427837410.1%
 
-0.510419547610.1%
 
1.56771016110.1%
 
-1.54036164310.1%
 
1.53645038610.1%
 
-0.877593338510.1%
 
1.13799774610.1%
 
0.387037515610.1%
 
0.709620535410.1%
 
0.797441005710.1%
 
-1.6536041510.1%
 
1.57542371710.1%
 
0.697893142710.1%
 
-1.21218609810.1%
 
-0.543592274210.1%
 
-0.0148107418810.1%
 
1.38796222210.1%
 
-0.324529141210.1%
 
0.553364694110.1%
 
-1.43873286210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78120756110.1%
 
-1.77710533110.1%
 
-1.77657604210.1%
 
-1.76906645310.1%
 
-1.76620864910.1%
 
-1.76618707210.1%
 
-1.76570928110.1%
 
-1.76559019110.1%
 
-1.76057362610.1%
 
-1.75186610210.1%
 
ValueCountFrequency (%) 
1.77069091810.1%
 
1.75928223110.1%
 
1.75855982310.1%
 
1.75796127310.1%
 
1.74624443110.1%
 
1.7406331310.1%
 
1.73855686210.1%
 
1.7380052810.1%
 
1.73692464810.1%
 
1.73188269110.1%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0076328180730343e-09
Minimum-1.7030518054962158
Maximum1.7420203685760498
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:31.214971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.703051805
5-th percentile-1.4983473
Q1-0.8892423213
median-0.0212800093
Q30.8833907098
95-th percentile1.579134786
Maximum1.742020369
Range3.445072174
Interquartile range (IQR)1.772633031

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)992425000.5
Kurtosis-1.227933923
Mean1.007632818e-09
Median Absolute Deviation (MAD)0.886490643
Skewness0.06272524178
Sum1.007632818e-06
Variance0.9999999999
2020-08-25T00:12:31.317488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.311523348110.1%
 
-0.973895013310.1%
 
-1.1966000810.1%
 
-0.274735480510.1%
 
-1.52472031110.1%
 
-0.0664862245310.1%
 
0.115312077110.1%
 
0.527979135510.1%
 
1.25908088710.1%
 
-0.319651603710.1%
 
1.35891330210.1%
 
-1.51436519610.1%
 
0.89320725210.1%
 
-1.44266080910.1%
 
1.46139574110.1%
 
0.483709126710.1%
 
-0.0512323714810.1%
 
1.16530084610.1%
 
1.13014566910.1%
 
-0.229646265510.1%
 
1.13794827510.1%
 
-1.0832554110.1%
 
-0.413758933510.1%
 
0.486631244410.1%
 
1.57933342510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70305180510.1%
 
-1.70277392910.1%
 
-1.69724416710.1%
 
-1.69152760510.1%
 
-1.68649673510.1%
 
-1.6864733710.1%
 
-1.68233096610.1%
 
-1.66250646110.1%
 
-1.66249227510.1%
 
-1.66169869910.1%
 
ValueCountFrequency (%) 
1.74202036910.1%
 
1.739669810.1%
 
1.73873412610.1%
 
1.73744785810.1%
 
1.72976458110.1%
 
1.72961211210.1%
 
1.7293018110.1%
 
1.72913086410.1%
 
1.72196614710.1%
 
1.71701383610.1%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1175870895385742e-10
Minimum-1.7706283330917358
Maximum1.7303074598312378
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:31.434532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.770628333
5-th percentile-1.590194023
Q1-0.8345239162
median-0.01337506203
Q30.8724770248
95-th percentile1.568478769
Maximum1.73030746
Range3.500935793
Interquartile range (IQR)1.707000941

Descriptive statistics

Standard deviation0.9999999985
Coefficient of variation (CV)-8947848520
Kurtosis-1.145017563
Mean-1.11758709e-10
Median Absolute Deviation (MAD)0.8521600249
Skewness0.005231549045
Sum-1.11758709e-07
Variance0.999999997
2020-08-25T00:12:31.540927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.280272185810.1%
 
0.431377738710.1%
 
1.69664704810.1%
 
0.480802178410.1%
 
0.59441244610.1%
 
1.21226048510.1%
 
0.561206817610.1%
 
-1.09897434710.1%
 
0.914483189610.1%
 
-0.664716780210.1%
 
-1.3447767510.1%
 
-0.709636628610.1%
 
0.90885275610.1%
 
0.0157063081910.1%
 
0.140786543510.1%
 
0.418290406510.1%
 
0.261516690310.1%
 
-1.17706632610.1%
 
1.1919776210.1%
 
0.385096758610.1%
 
0.910794138910.1%
 
-1.05986475910.1%
 
-1.11454904110.1%
 
-0.941724181210.1%
 
1.39969694610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77062833310.1%
 
-1.76946687710.1%
 
-1.76628172410.1%
 
-1.76572501710.1%
 
-1.76466238510.1%
 
-1.76423025110.1%
 
-1.76243114510.1%
 
-1.76210868410.1%
 
-1.76144790610.1%
 
-1.75824856810.1%
 
ValueCountFrequency (%) 
1.7303074610.1%
 
1.72795724910.1%
 
1.72577011610.1%
 
1.72219502910.1%
 
1.72095346510.1%
 
1.71891617810.1%
 
1.71425008810.1%
 
1.70945906610.1%
 
1.70009648810.1%
 
1.69876134410.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.872249413281679e-09
Minimum-2.642117500305176
Maximum2.2166306972503658
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:12:31.657196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.6421175
5-th percentile-1.890045696
Q1-0.6715646982
median0.148713015
Q30.7650279403
95-th percentile1.467110628
Maximum2.216630697
Range4.858748198
Interquartile range (IQR)1.436592638

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-534116872.4
Kurtosis-0.4042611749
Mean-1.872249413e-09
Median Absolute Deviation (MAD)0.7028490305
Skewness-0.4038663119
Sum-1.872249413e-06
Variance1.000000002
2020-08-25T00:12:31.759984image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.708048582110.1%
 
1.66531455510.1%
 
0.70572519310.1%
 
-0.98892772210.1%
 
-0.32258704310.1%
 
-0.316085249210.1%
 
0.506500542210.1%
 
0.62368655210.1%
 
0.998684644710.1%
 
-0.543606638910.1%
 
0.883446931810.1%
 
-1.24345219110.1%
 
-0.5201629410.1%
 
0.342111885510.1%
 
0.779925644410.1%
 
0.83851659310.1%
 
-1.52073895910.1%
 
-1.182422410.1%
 
0.171542465710.1%
 
0.817028462910.1%
 
-2.1587345610.1%
 
-0.332492709210.1%
 
0.91663479810.1%
 
-0.535775065410.1%
 
0.992805123310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.642117510.1%
 
-2.63589930510.1%
 
-2.56137132610.1%
 
-2.51994609810.1%
 
-2.48390531510.1%
 
-2.4533753410.1%
 
-2.4439225210.1%
 
-2.42844438610.1%
 
-2.39878368410.1%
 
-2.39690804510.1%
 
ValueCountFrequency (%) 
2.21663069710.1%
 
2.11660194410.1%
 
2.108904610.1%
 
2.06672048610.1%
 
2.05461835910.1%
 
2.05306291610.1%
 
2.04507827810.1%
 
2.01043486610.1%
 
2.0043735510.1%
 
1.99827647210.1%
 

Interactions

2020-08-25T00:11:18.627042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:18.788475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:18.951013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:19.113314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:19.278827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:19.602911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:19.770348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:19.935471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:20.092122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:20.259701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:20.421683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:20.580064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:20.737910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:20.903648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:21.064265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:21.230972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:21.395247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:21.557159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:21.716599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:21.886751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:22.057496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:22.217339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:22.377465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:22.543908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:22.708870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:22.873472image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:23.039566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:23.198499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:23.362988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:23.526799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:23.685936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:23.845060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:24.018876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:24.182971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:24.520291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:24.683324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:24.844623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:25.009079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:25.175821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:25.339392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:25.497283image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:25.666916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:25.833817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:25.997983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:26.166586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:26.332293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:26.495856image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:26.659273image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:26.821622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:26.983140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:27.150193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:27.314147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:27.477049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:27.642702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:27.808415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:27.988026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:28.153547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:28.316599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:28.478736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:28.644362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:28.797982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:28.966428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:29.139243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:29.462945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:29.635460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:29.807807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:29.971833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:30.137087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:30.302152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:30.464637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:30.632970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:30.796951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:30.961257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:11:31.129232image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:12:06.312320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:06.474492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:06.647162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:06.818227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:06.984364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:07.146370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:07.310896image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:07.473581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:07.633792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:07.794859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:07.956444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:08.117479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:08.279196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:08.446369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:08.777537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:08.936853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:09.096906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:09.258901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:09.424042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:09.584402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:09.735522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:09.896705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:10.059932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:10.236698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:10.406288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:10.570233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:10.732459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:10.896003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:11.064369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:11.225947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:11.389485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:11.552205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:11.714345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:11.877176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:12.042648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:12.212689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:12.375586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:12.539392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:12.709906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:12.876294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:13.031934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:13.193916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:13.356393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:13.701604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:13.869383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:14.039234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:14.203598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:14.367157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:14.532914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:14.693685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:14.856512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:15.018531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:15.183593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:15.345368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:15.509265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:15.673613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:15.835064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:15.998301image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:16.157563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:16.318530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:16.474762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:16.637987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:16.800124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:16.961476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:17.128422image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:17.296130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:17.458092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:17.620070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:17.780381image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:17.942404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:18.111684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:18.274010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:18.598363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:18.764029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:18.923651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:19.088953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:19.248994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:19.409135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:19.569445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:19.733970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:19.887334image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:20.050595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:20.212919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:20.375278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:20.540470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:20.702299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:20.864316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:21.028193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:21.188999image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:21.351169image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:21.513482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:21.675833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:21.835294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:21.997693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:22.162725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:22.322742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:22.485349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:22.648277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:22.810458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:22.970459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:23.126213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:23.433625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:23.591480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:23.742081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:23.896043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:24.043725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:24.197214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:24.347994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:24.499177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:24.651933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:24.805890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:24.958046image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:25.109620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:25.278666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:25.430539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:25.579967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:25.733366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:25.885383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:26.038141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:26.192693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:12:31.903851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:12:32.213431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:12:32.520320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:12:32.831774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:12:26.485188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:26.948886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
00.538325-1.031822-0.5486310.9301261.674537-0.074410-0.853974-0.778966-1.0889810.792117-1.2270850.5352931.1326671.148869-0.2736500.7336880.3031520.940371-0.071487-1.632374
11.5471090.1109560.6772001.6937841.323890-0.700582-1.574266-0.5459081.584278-0.374413-0.949838-1.2316861.472927-1.3853080.987841-1.633301-1.432762-1.159743-1.3625210.269932
2-0.348997-1.0807360.6923390.519463-1.018894-0.077448-0.319817-1.0761090.3980351.236158-1.4917650.663901-0.9405140.482799-0.139077-0.1347071.458085-1.1987670.8978291.298223
3-1.4983990.206946-0.481599-1.275904-1.543978-0.5537361.3038351.0075731.1839011.4965360.326750-0.242132-0.1949500.4184530.8501800.995372-0.4234821.4988411.0432481.247661
40.489454-0.963710-0.868023-1.597108-1.575681-1.5132061.4310820.6933200.2562320.4032880.8496051.6811721.3864011.2839781.238650-0.0943590.891956-0.019599-0.1276961.966738
50.6418050.0878960.4104710.5584610.5857100.238377-1.379743-1.581361-0.8268240.490655-0.540092-1.0075000.141855-0.5965420.821566-0.0384340.255931-0.746173-1.183949-0.286467
6-0.2809910.395729-0.450953-1.1919600.492256-1.6017190.028502-0.1170801.416603-0.935151-1.5982241.661388-0.6230590.2315070.8607721.7861390.715223-1.6431210.142925-0.140090
7-1.388062-0.808682-1.4248150.186341-0.766965-0.9755460.9460310.4183140.4915361.466365-1.222027-0.502321-0.996736-0.3564810.1153230.149636-0.244985-0.6921841.388424-1.435846
8-1.368260-1.357984-1.0549141.230261-1.4077310.016171-0.288653-1.2667040.8180480.530080-1.3320880.738186-0.2450920.7586540.556955-0.800781-0.601316-0.503256-0.455672-0.802313
91.0703201.007097-1.3644781.0868151.2014060.327906-0.7640510.4040061.4162491.4732980.4741051.3951820.777298-1.1480060.8876920.164040-0.813379-1.6355250.195088-1.020871

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
990-0.0031960.869868-0.568385-1.413651-0.738438-1.376314-1.7220110.4938241.4417220.0671650.437181-0.929772-1.119462-0.3396671.1431541.5331021.457651-0.1961510.326111-1.056324
991-0.9125310.699295-0.2209111.2825350.209240-0.296347-0.9258851.000432-1.1152340.254259-0.0414251.1727501.5441521.217133-0.543241-1.189402-0.1929480.270148-1.633103-1.140360
9921.185896-1.357681-0.7355460.442886-0.4950501.4836961.102471-1.715155-1.0793061.459417-0.0048681.506607-1.638404-1.1729121.090717-1.7450881.6645210.3252351.2563091.595937
993-1.732427-0.5421350.998268-1.5212100.488556-0.916151-1.661000-0.852352-1.119398-1.456770-1.158525-1.425142-0.894359-0.6557480.3784490.628384-0.4081140.148655-1.187644-2.003039
9940.8509240.828236-0.224335-0.6972111.585838-0.8691301.652509-0.630170-1.540068-0.618256-0.163191-1.147546-1.7558600.805049-1.0796050.094646-1.532665-0.9359530.2506480.255883
9950.7302651.5219331.581610-1.051339-1.7044741.1264030.624378-1.6181961.4427540.374122-1.5066411.563908-0.5006170.533190-0.5118530.756207-0.9511440.481498-0.1038530.398810
9961.3971350.038825-0.774895-0.6585741.2198091.407959-0.831211-0.4473130.273608-0.3736600.423595-1.586050-1.239513-1.596326-0.1955760.6590461.039006-0.167388-1.5618880.887149
997-1.3347961.0085930.9147771.255981-1.3628420.0975611.424090-1.596360-0.377907-0.6684840.877766-0.900283-0.0922471.365671-1.011567-0.4144910.817994-1.223152-0.348494-1.899920
9980.137246-0.538568-0.334652-0.127765-0.4215841.3120040.075157-1.5518071.0043690.6233871.251632-1.653058-0.1529400.851693-0.5735161.284384-0.0029571.6838071.090177-0.818257
999-0.328882-0.9159381.046706-0.9572010.0423880.2158680.058711-0.7385420.574391-1.6933830.2668941.1552050.559417-0.651658-0.5182371.520916-0.762165-1.697244-0.368776-0.590563